摘要
针对水声传感器网络(UASN)能耗效率问题,提出了一种基于改进鲸鱼优化算法的水声传感器网络分簇路由方法 .该方法能够有效平衡UASN中传感器节点的能量消耗,从而延长网络生命周期.同时能够根据簇头剩余能量等因素动态调整簇大小,平衡簇头负载.仿真结果表明:该方法相对其他典型能耗优化方法,能够有效降低整体网络能耗,延长网络生存时间.
A clustered routing method for underwater acoustic sensor networks(UASNs)based on an improved whale optimization method(UCWOM)is proposed to address the problem of energy efficiency in UASNs.The method can effectively balance the energy consumption of sensor nodes in a UASN,thus extending the network lifecycle.It is also able to dynamically adjust the cluster size and balance the cluster head load according to the remaining energy of the cluster head and other factors.Simulation results show that the method can effectively reduce the overall network energy consumption and extend the network survival time compared to other typical energy consumption optimization methods.
作者
邢光林
胡露蓉
XING Guanglin;HU Lurong(College of Computer Science,South-Central Minzu University,Wuhan 430074,China)
出处
《中南民族大学学报(自然科学版)》
2025年第2期213-219,共7页
Journal of South-Central Minzu University(Natural Science Edition)
基金
中南民族大学研究生创新基金资助项目(3212021sycxjj153)。
关键词
水声传感器网络
鲸鱼优化算法
分簇路由
underwater acoustic sensor network
whale optimistic algorithm
clustering
